Construction of a Digital Twin Model for Pharmaceutical Education Driven by Transformative Learning — Innovative Practice of Chronic Disease Management Based on the Integration of Short Video, AI, and VR

Abstract

To address the pain points in pharmaceutical education, such as the shortage of practical teaching resources and inadequate training in complex medication scenarios, this study constructed a three-in-one practical teaching mode for pharmacy, including “short video – virtual simulation – intelligent navigation”. Based on the theories of microlearning and transformative learning, the study innovatively adopted the strategy of “cognitive load optimization + stepped task-driven” approach. The study dismantled the management of five major chronic diseases, including hypertension and chronic hepatitis B, into modular short videos. Additionally, the study introduced cutting-edge topics such as the visualization of the “DFI-DGCF algorithm for medicinal and dietary contraindications.” Through the WeChat public platform, the study established a closed-loop system of “learning – practice – evaluation – application”, integrating AI personalized navigation (recommending learning paths based on learning behavior analysis), VR pharmacy training (simulating 23 types of high-risk scenarios), and blockchain technology for ability certification. Practical application showed that this mode improved students’ accuracy in clinical decision-making. The study provided an empirical paradigm of theory-technology-ecology collaborative innovation for the digital transformation of pharmaceutical education. The “three-dimensional and nine-degree” evaluation system and UGC crowdsourcing mechanism constructed in this study offered replicable solutions for the high-quality development of medical education.